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Portland State University Portland State University
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University Honors Theses University Honors College
2014
Social Media and Self: Influences on the Formation Social Media and Self: Influences on the Formation
of Identity and Understanding of Self through Social of Identity and Understanding of Self through Social
Networking Sites Networking Sites
Madison Ganda Portland State University
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Recommended Citation Recommended Citation Ganda, Madison, "Social Media and Self: Influences on the Formation of Identity and Understanding of Self through Social Networking Sites" (2014). University Honors Theses. Paper 55. https://doi.org/10.15760/honors.64
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Social Media and Self: Influences on the Formation of Identity and Understanding of
Self through Social Networking Sites
by
Madison Ganda
An undergraduate honors thesis submitted in partial fulfillment of the
requirements for the degree of
Bachelor of Arts in
University Honors
and
Sociology
Thesis Adviser
Peter Collier, Ph.D.
Portland State University
2014
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Social Media and Self: Influences on the Formation of Identity and
Understanding of Self through Social Networking Sites
Madison Ganda
Portland State University, 2014
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Abstract
Over the years, social networking sites have grown into a more modern way of
socializing. The widespread use and increasing time spent on these sites cause users
to create online self-‐presentations in order to participate. Using Goffman’s
dramaturgical theory, this study looked to explain the effects of feedback associated
with online identities on social networking sites with offline identity development
and presentation. An online Likert-‐scale survey was used gauge participant’s
feelings about the social networking sites they used. Analysis of the collected data
used a regression model to explore possible links between feedback on posts online
and individuals’ internalization of that feedback into offline identities. Although no
significant relationships were identified, the findings suggest directions for future
research.
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Table of Contents
Abstract ……………………………………………………………………………………………..3 Table of Contents…………………………………………………………………………….....4 I. Introduction…………………………………………………………………………….5 II. Literature Review…………………………………………………………………….6 III. Methodology/Research Questions and Hypothesis…………………19 IV. Results…………………………………………………………………………………….23 V. Discussion……………………………………………………………………………….32 VI. Conclusion, Limitation and Suggestions for future research……34 References………………………………………………………………………………………….38 Appendix I. Informed Consent…………………………………………………………….41 Appendix 2. Survey……………………………………………………………………………..42
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I. Introduction
In recent years social media has experienced widespread popularity within
our society (Digital Market Ramblings 2014), starting from small personal web
pages to full-‐blown mass communication networks where the user can give or find
almost any information about themselves or others within minutes. These sites have
gone from only being used by the computer-‐savvy, to being incredibly user friendly
and spreading worldwide. While the popularity of social networking sites continues
to grow, so does the user’s time on the page, even to the point of having the sites
available on their mobile phone to check while away from the computer (Pew
Research Internet Project 2013). As the amount of time users spend on social
networking sites continues to grow, their interactions with others offline tends to
decrease meaning that most of their socializing and socialization occurs within the
glow of a computer or phone screen (Pew Research Internet Project 2013). In this
research, I will examine the influence of social networking sites on the formation of
identity and understanding of self through the interactions and usage of various
social networking sites; namely Facebook, Tumblr and Instagram.
One potential consequence of the individual’s increased online interaction
time is that the formation of identity and understanding of self is now affected, to a
greater degree, through the popularity or feedback on certain aspects of the user’s
life that they are willing to share. The purpose of this research is to show how
extensive use and time spent on these sites cause the user to form their identity and
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understanding of self based on the feedback on their posts. This research will draw
upon survey data from 300 people who use more than one social networking site.
Specific data will include providing information about their uses, experiences and
influences of their formation of identity and understanding of identity through the
sites they use.
II. Literature Review
This literature review will first provide backgrounds on the aforemention
social networking sites followed by an introduction to Goffman’s dramaturgical
analysis of self and finally, examine how Goffman’s work informs current research in
regards to the construction of self through the use of the Internet. The research that
I will be conducting will focus primarily on Facebook, Tumblr and Instagram and the
gratifications and identity validation users receive.While Facebook has been
researched, Tumblr and Instagram are relatively new and have yet to be discussed
within the creation of identity and understanding of self.
Tumblr is a blogging site (Tumblr 2014), which allows its users to express
their personality and bare their true self while finding like-‐minded people to create
communities online. The site allows for text posts (where users can discuss their
feelings, thoughts, political and social issues or random bits of information they feel
like sharing), photos (ranging from pictures of themselves or any other content they
deem important to share), quotes, chats (pieces of conversation from their lives),
links (for sharing important or interesting articles or information), audio (songs,
sound clips or speeches that resonate with the user) and video (either from the
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internet or created by the user). These different aspects of the site allow for the user
to honestly share what they deem important to them while creating a community of
“followers” and likewise “following” others to further understand what is important
to them. Tumblr allows for the perspective of others to be integrated amongst other
users through shared understanding and various points of view.
Instagram is a photo-‐sharing application (Instagram 2014) in which the user
can share the world through their eyes to showcase what they find interesting or
important. The majority of pictures range from mundane events, such as what the
user is eating, reading or listening to, to the events attended by the user; parties,
concerts, get togethers, etc. The main takeaway from Instagram is that it is an
extension of the user, which can be seen as a window into their daily activities. It
gives users a chance to see what others are doing and gives the options to “like” a
photo or “comment” on the photo. I propose that these sites are virtual areas for
interpersonal interaction and therefore serve as locations for the development of
the self. This research will hopefully help to understand how users on these specific
sites create an identity and understanding of self offline based on external validation
and internalization of ideas measured by popularity of their posts.
This study focuses on an identified research gap in the literature concerning
the relationship between social networking sites and user created identities. The
importance of this research is due to the on-‐going usage of social networking sites
and dramatic increase of users. Facebook has 1.19 billion monthly users, 874 million
mobile users, and 728 million daily users as of October 2013 (Digital Marketing
Ramblings 2014). Tumblr, a popular blogging site, has 216.3 million monthly
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visitors and contains 109 million blogs as of May 2013 (Digital Marketing Ramblings
2014). Instagram, a photo-‐sharing social networking app has 150 million users as of
September 2013 (Digital Marketing Ramblings 2014). While these sites continue to
grow, the time spent using and socializing through these sites increases as well.
The theoretical framework for this study is Goffman’s (1959) dramaturgical
theory. The reason for this detailed focus point is the importance of Goffman’s work
for understanding individuals, both presenter and audience, within interactions. The
articles used for the research will be broken down into sections discussing their
relevant focus in relation to Goffman’s work and their contribution to the study.
In The Presentation of Self in Everyday Life, Goffman (1959) focuses on the
importance of everyday, face-‐to-‐face interactions between people. To Goffman,
personal interaction is based on performance and a relationship between actor and
audience wherein there is an agreed upon definition of the situation (Goffman
159:32). Goffman proposes that when an individual interacts with others, they are
attempting to guide and create a certain image in which the other person sees them
and attains knowledge about them (Goffman 1959:40). This guiding is an attempt to
highlight positive ideas of self and desired impressions (Goffman 1959:44). The
actors in the interaction are able to choose their own stage, props and costume for
specific audiences (Goffman 1959:39). Within these interactions the role of audience
and actor is interchangeable in that both people are simultaneously actor and
audience and performing these roles accordingly (Goffman 1959:86). While
Goffman proposed that interaction was a performance, the aforementioned part of
the interaction is only the front stage aspect of this performance; he also puts forth
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the idea of a back stage in which the individual has a private place where they can
stop performing and rid themselves of their role or social identity and be their true
self (Goffman 1959:129). These ideas about self being a presentation of a role rather
than an innate characteristic have opened up the way in which sociologists look at
personal interactions. Rather than individuals having a natural way of being, we can
now see it as a routinized aspect of our every day lives that we are no longer aware
of.
This theory of self being a performance can be understood with some
support from aspects of behaviorism, some propositions of exchange theory and the
social construction of reality. The relation to behaviorism (Skinner 1953) comes
from the rewards individuals get from conforming to certain behaviors of the group,
in which they are seen as a part of a group due to their performance of their role.
The relation to exchange theory (Homans 1958) is similar in that the individual
performs their role in a way that they are rewarded for adhering to the conventions
of the group. The actions in an individual’s performance can be based off the basic
propositions of exchange theory as a way to understand which aspects of their
performances work with specific audiences within the larger group. The relation to
the social construction of reality (Berger and Luckman 1966) aspect comes from the
understanding/acceptance of cultural creations and the nature of the individual’s
environment that ultimately dictate the way in which the individual performs the
role of themselves. Each situation that the individual finds himself or herself in,
there is a different performance that they project as a way to adapt (Goffman
1959:43).
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Goffman sees groups of people or individuals in a dichotomous way. In
individual interactions, he sees people as both the actor and the audience,
performing a role for the other as a way to portray a certain personality or ideal self
(Goffman 1959:86). He sees groups of people as teams who all work together in
staging a routine similar to that of actors in a play (Goffman 1959:84). The ways
these teams operate are through reciprocal dependency in which each individual is
responsible for keeping up their performance so as not to jeopardize the
performances of the others (Goffman 1959:84). It is important to keep in mind that
teams are not cliques or informal groups and team grouping is not in relation to
organization or social structure. Teams are formed through relation to interactions
in which there is a maintained definition of a situation (Goffman 1959:85).
The concepts put forth in Goffman’s work, while meant for in-‐person
interactions, are very useful in terms of understanding interactions online. The idea
that people guide others and create certain images and desired impressions of self
for others to attain knowledge about them, is similar to selective posting online. A
user has the ability to post their interests, hobbies, books they have read, movies
they have watched, blurbs or pictures of activities they engage in as a way to guide
their audience into creating understandings of them. This allows users to perform a
role and present themselves in a way they find most desirable and acceptable to
others. Similarly, the user is also part of an audience and reacting to the posts of
others and being guided into creating understandings of other users. This concept of
both actor and audience connects with Goffman’s discussion of teams, or people
who work together to stage a routine. In an online context of social networking sites,
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these teams can be understood as the people who the user interacts with regularly
online. There is an aspect of dependency in which each member of the team upholds
the performance of the others due to their understandings of the presentation of
each member.
Goffman’s discussion of the front stage and back stage applied to social
networking sites creates an interesting situation and is a motivation of this study.
While the user is creating this performance of themselves in order to shape how
others see them, there is also the backstage or offline time where the user is no
longer performing their role and can be their “true self”. What this research is
suggesting is that based on the positive feedback online, the user will take aspects of
their popular posts and integrate them into this “true self” where they interact with
others who have an already informed idea about them based on their online
presentation, thus forming a new identity and understanding of self. From the work
done by Goffman, I have identified two themes within the literature: impression
management and social networking sites as an identity testing ground.
Impression Management
Following the idea of the need to represent yourself during interactions, Enli
and Thumim (2012) focus on the distinction between self-‐representation and
presentation or formation of self with an emphasis on the idea that to fully
understand social networking requires self-‐representation and socializing with
others (Enli Thumim 2012:98). Enli and Thumin argue that there are choices in
what aspects of us to represent and users of social networking sites decide how to
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represent these aspects as a way to complement the work done through
presentation and self-‐performance (Enli Thumim 2012:91/92). Thumim and Enli
also suggest that social networking sites create a hybrid space that challenges the
traditional contexts of online/offline socialization and public/private spheres.
Within this discussion of public vs. private, there is an analysis of public
communication and broadcasting on Facebook that changes the dynamics of who is
producing and consuming content online (Enli and Thumim 2012:100). Another
aspect of self-‐representation comes from the users creation of hierarchies and
groups of who receives or sees the messages they post. Within this realm, there is
analysis of popularity, which deems more friends online as a badge of status among
younger Facebook users. In order to obtain this status, users must construct self-‐
representations in order to participate and “employ a strategy of representation” to
gain status (Enli and Thumim 2012:98).
Several terms and theories put forth in their article are linked to power
dynamics within social networking. Some include: individual global self (Enli
Thumim 2012:98) which is the user conforming to generic expectations of self-‐
representation through images and statuses that represent themselves individually;
dominant representation (Enli Thumim 2012:99) which pertains to profile pictures
and issues of gender in how we view individuals and control of representation (Enli
Thumim 2012:100) which states that our creation of ourselves is vulnerable to the
portrayal and interpretation of us by others. The article concludes with a discussion
that social networking requires a textual self-‐representation to describe us, select
profile pictures or use certain symbols to represent ourselves. Ultimately, we cannot
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escape self-‐representation because of our need to connect and socialize fitting the
rapidly changing modes.
From the work of Enli and Thumim, the idea that in order to be a part of the
online community you must socialize and through socializing, must create an online
self-‐representation is a main point of the following research. The need for self-‐
representation causes the user to pick and choose the best information to convey to
their respective audience, which in turn can create a certain status for that user
based on popularity. Taking this concept into mind, this attainment of online status
created by the user is then incorporated into their offline identity to help create a
new understanding of self based on the feedback from others on the self-‐
represented self on social networking sites.
Tosun (2012) states that the main uses for Facebook include maintaining
long-‐distance relationships, game playing/entertainment, photo-‐related activities,
organizing social events, passive observations, establishing new friendships and
initiating/terminating romantic relationships (Tosun 2012:1512). Tosun argues
that expressing one’s self on the Internet is a way to form close relationships with
people that are met through social networking site and that users use Facebook as a
social substitutes to create offline relationships and strengthen existing
relationships (Tosun 2012:1512). After analyzing the data, Tosun concluded that
Facebook is a buffer for those with issues articulating their thoughts and feelings in
person and is used as a substitute for establishing relationships (Tosun 2012:1517).
The ideas within the Tosun article regarding Facebook as a social substitute
to create relationships supports the theory within this research that more
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socializing is occurring in the online sphere. By creating an online identity, which is
used to create these friendships with others, the user is participating in the selective
process of identity formation discussed in the aforementioned articles. When these
relationships are then taken into an offline scenario, the user assumes the role of
their online identity and performs the identity that their counterpart has come to
know, accept and understand.
Skues, Williams and Wise (2012) focus on the effect of personality traits on
the amount of usages for social networking. They argue that the user’s personality
changes the information selected to be presented or withheld from others (Skues
Williams Wise 2012:2418). The study found that the type of personality a user has
changes their ideas of impression management, their openness to connect with
others and suggests that lonelier students compensate for their lack of offline
relationships (Skues et al 2012:2418).
While their article focuses mainly on the effects of personality traits, the
ideas of selective information sharing and representation resonate with the
research being discussed. Depending on the user, the online identity formation can
vary based on their personality. If the user feels as though they need to project a
certain idea about themselves to others, they engage in such behavior to guide how
they are viewed. Alternatively, if there is no such need to create an idea of identity
for the audience, there is less projected identity, which in itself, also creates an idea
and understanding of the user’s identity.
Tosun (2010) focuses understanding of Internet use for interpersonal
communication with an emphasis on whether the user’s personality is an extension
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of their face-‐to-‐face interactions or a substitute for their face-‐to-‐face communication
(Tosun 2010:162). The article looks at the difference of introversion versus
extroversion in the user’s personal life as a means for users to substitute for or
extend social interactions on the Internet (Tosun 2010:163). Tosun found that the
main social motives for the Internet were maintaining long-‐distance friendships and
supporting face-‐to-‐face interactions were correlated with extroversion (Tosun
2010:164). The study concluded that as introversion increases, so does the use of
the Internet as a social substitute whereas, as extroversion increases, the Internet is
seen as an extension of social interaction (Tosun 2010:165).
While this article concluded that increased introversion causes social
networking to be used as a substitute while an increase in extroversion causes social
networking to be seen as an extension, I propose that there may be a between the
two. As introversion increases, the user seeks social networking to substitute those
interpersonal interactions and based on the feedback, can create a more extroverted
identity that in turn becomes an extension of this created identity. Essentially the
user can turn their introversion into a form of extroversion through an identity
formed online.
Social Networking as a testing ground
Davis (2012), argues that social networking sites provide means of self-‐
expression for users but by having these outlets of expression, creates an issue of
balancing multiple selves and their respective audiences (Davis 2012). The use of
social networking creates a space in which the user feels more free to express
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themselves online and provides the user with chances to work through certain
issues they might be dealing with in their daily lives (Davis 2012:643). The outlets
of social networking allow the user to make changes to their self and identity online
that they would not necessarily make offline due to confidence issues (Davis
2012:639). As Davis states within her article, some users might, “forget what they
are trying to be” which leads to feelings of being unauthentic and possibly damaging
to how the user sees themselves (Davis 2012:643). Davis also suggests the idea of
“spheres of obligation” consisting of the self, interpersonal relations, online social
norms, and broad community level values which all limit the multiplicity of the user
and work to intertwine the user’s online and offline identities (Davis 2012:645).
In her conclusion, Davis stated that social networking allows for multiple personas
and outlets for personal issues, creates a testing ground that is, “Practice for real life.
Test being one person online, see how people react, then trying it in real life.” (Davis
2012:644). Although the use of social networking is mostly positive, Davis also
discusses the possible issues with multiple personas and offline obligations and
groups (Davis 2012:648).
From the Davis article, the idea of using social networking sites as a tool for
identity practice aligns with the work being done and argued in this research thesis.
The selective posting on social networking sites allows users to test these various
forms of online self and based on the feedback given from the audience of the user,
is then incorporated to create a new identity and thus understanding of who the
user has become. By using social networking sites, the user has control over their
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own identity formation and self-‐understanding and can choose how to present
themselves offline based on the feedback of their online-‐tested identity.
Livingstone (2008) focuses on a youth-‐centered social networks that consists
of self-‐constructed and peer related pages that are an integral means of managing
identity, lifestyle and social relationships while at the same time developing and
gaining confidence in an ego identity that is autonomous and socially valued
(Livingstone 2008:398). Livingstone suggests that social networking creates a space
for teens to be visible to peers where they can construct and experiment with a
reflexive project of themselves (Livingstone 2008:399). These pages can be seen
and understood as a place-‐marker rather than a self-‐portrait where peer positioning
is more important than personal information that is provided in which the self is
embedded into the peer group as known to and represented by others (Livingstone
2008:401). Questions in the interviews conducted discuss motivations for making a
profile, readings of others’ profile, social and personal meaning of contacts
sustained online and their relations to offline friends.
The work done by Livingstone supports my own research in terms of seeking
validation from the online community the user is engaging and participating within.
The user has this space in social networks to work on their online identity and
create an identity that falls within certain peer categories that are seen as popular
or beneficial to a larger status structure. Through this reflective lens, the user can
then look to others as a way of measuring whether or not their own online identity
will garner the same positive attention and understanding and if in the case it does
not, the user can change that identity presentation accordingly. This work to create
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a satisfactory online identity is then transferred to their offline identity as a way to
maintain their new garnered status amongst their peers.
Ellison, Steinfeld and Lampe (2007) look at the trend from offline to online
relationships and the formation of communities based on shared interests instead of
shared geography (Ellison Steinfeld Lampe 2007:1144). The authors noted that a
majority of heavy Facebook users rely on the site to maintain long-‐distance
relationships rather than as a substitute for offline interactions with people nearby
as a way to maintain social capital (bonds, opportunities, friendships) (Ellison et al
2007:1162). The research found that the average time spent on Facebook was 10-‐30
minutes with an average friend list of 150-‐200 people (Ellison et al 2007:1153). The
main friend sources resulted in offline acquaintances, people who live nearby,
classmates and high school friends with whom connections are kept. The study also
found that there is a positive relationship between Facebook use and the creation of
social capital (jobs, networking, etc) (Ellison et al 2007:1164).
While the findings of this article might not be generalizable on a larger scale,
the idea that was incorporated into this thesis was that of communities that are
formed due to shared interests. When the user finds the community that they are
most aligned with, they then engage in socializing with others within that group.
This participation involves aspects of socializing and self-‐representation and
presentation that the user generates through the process of selective sharing
mentioned in earlier articles. As a way to maintain membership within these online
communities, the user works to formulate an identity that agrees with others within
the group to create a stronger bond amongst them. This can be seen as a similar
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activity as testing an identity online over time and based on feedback, creating an
identity that is proven within a peer group.
This literature review identified the themes within Goffman’s (1959)
dramaturgical approach and connected them to the user created presentation of self
within the sphere of social networking sites. Following that path, the articles that
followed were divided into two groups influenced by Goffman’s work and pertaining
to impression management and using social networking sites as a testing ground for
identity formation. From the articles, the most salient points were used to support
my research.
III. Methodology/Research Questions and Hypothesis
This research tries to answer two research questions: “Does the popularity
of a post online cause a user to incorporate aspects of that post into their offline
identity?” and, “How does the time spent on social networking sites cause the user
to form their offline identity and understanding of self?” By studying social
networking sites such as Facebook, Tumblr and Instagram, all of which allow users
to have “friends”/”followers” and receive feedback on posts regarding personal
expression, the research hopes to find data that will lead to an understanding of
linkages between online and offline identity creation.
The hypothesis for this study is that users of social networking sites create
online identities and based on positive feedback, internalize that identity and
present it offline. The null hypothesis for this study is that positive feedback does
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not have an effect on the user’s internalization and offline presentation of their
online created identity.
Support for this research hypothesis will be shown through a positive
correlation between reflection and the variables “feel good”, “interest”, “time” and
“age”. These variables were chosen due to their influence in whether or not a
user/participant would incorporate those popular aspects of their online self to
their offline self.
Data Description
Data: The data was collected through convenience and snowball sampling (About
Sociology 2001) with a survey that that was created in order to gauge users feelings
towards social networking sites and the internalization of popular posts. By utilizing
the Likert Scale, the participants are encouraged to answer in a way that reflects
their personal experiences with the different social networking sites they use.
The target population for this survey was college students/millennial across
America. The aim towards millennial (people born between 1980-‐1995) and college
students is due to the time in which they grew up. For many, social networking sites
were part of their socialization process and a part of their daily activities. This target
population is familiarized with social networking sites and thus will provide the
most accurate measurements for the study. The goal for this survey and study was
between 200-‐300 respondents. The response rate for this survey was 41% (339 out
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of 817) and the sample size used in the analysis is 300; excluding incomplete
submissions.
The majority of the subjects were found through convenience sampling from
my own group of “friends”/”followers” on the three respective social networking
sites. From these groups, potential participants were asked to share the survey with
their respective groups of “friends”/”followers” in order to collect a large, diverse
sample that spans various geographic, economic and political demographics. The
survey was sent out through three different outlets: a Facebook group, a Tumblr
post and an Instagram post. From the URL attached in the initial post, potential
participants were directed to the informed consent page and an explanation of the
survey and study. Along with the informed consent and explanation, potential
participants were given the opportunity to ask questions or voice concerns
regarding the survey/study and were responded to in real-‐time.
Demographics:
To begin the data analyzing, it is important to look at the distribution of participants
in the survey and their presence on the social networking sites being observed. 94%
of participants use Facebook, 62.99% use Instagram, 38.81% use Tumblr and
28.96% use some other type of social networking site. In terms of demographics,
this study consisted of 72.07% women, 24.93% men and 3% non-‐binary people.
58.10% of participants were white, 14.68% were multi-‐racial, 14.37% were Latino,
7.03% were Asian, 1.53% were African American and 4.28% were of another
unspecified racial group. Regarding education, 30.15% were currently in or
completed three years of college, 16.42% had graduated from college, 16.12% had
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completed two years of college, 16.12% were high school graduates or had a GED
equivalent, 12.24% were in their first year of college, 4.18% spent some time in
graduate school, 1.19% had completed graduate school, 2.99% had a Masters degree
and .6% received their Ph.D.
Measures:
The variables of this study include time spent using social networking sites,
the frequency of social networking site use, the gratification (joy/good feelings)
based on the user’s personal feelings caused by feedback on posts and the
incorporation of popular posts into offline identity. This will be measured in a
dichotomous logistic regression. The independent variables include the time spent
using the sites, the frequency of use and the gratification feedback (the way a user’s
post getting positive attention). The dependent variable and variable of interest of
this study is the incorporation of popular posts into offline identity. The mediating
variable is the participant’s age. The demographic control variables are gender, race,
education level and marital status.
Independent variables include the questions and statements: “How much
time do you spend daily on social networking sites?” and has four options coded 0
(1-‐3 hours), 1(4-‐6 hours), 2 (7-‐9 hours), 3(more than 9 hours). “If I get positive
feedback on a personal post, I feel good about my interest in the subject”, “I feel
good about myself when I get a lot of notes on something I posted online.” Coded 0
(strongly disagree), 1 (somewhat disagree), 2 (disagree), 3 (agree), 4(somewhat
agree), 5(strongly agree).
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Dependent variables include the statements, “If I post something online that
is well received, I feel confident discussing it with others offline.” “If I see a topic is
being talked about on social networking sites, I will look into the topic.” “My posts
on social networking sites are an accurate reflection of who I am.” Coded 0 (strongly
disagree), 1 (somewhat disagree), 2 (disagree), 3 (somewhat agree), 4(agree),
5(strongly agree). All are ordinal measures.
The mediating variable, age is coded 0 (18-‐24), 1(25-‐34), 2 (35-‐44), 3 (45-‐
54), 4 (55-‐64), 5 (65-‐74). The demographic control variables are: gender, coded 0
(female), 1 (male), 2 (non-‐binary/rather not respond). Race coded 0 (Latino), 1
(African American), 2 (Asian), 3 (Native American), 4 (Multi-‐racial), 5 (White), 6
(Other). Education level coded 0 (High School Graduate/G.E.D. equivalent), 1 (1 year
of college), 2 (2 years of college), 3 (3 years of college), 4 (College graduate), 5
(some graduate school), 6 (graduated from graduate school), 7 (Masters degree), 8
(Higher). Relationship status coded 0 (single), 1 (dating), 2 (engaged), 3 (married), 4
(divorced). All are nominal measurements.
IV. Results
In this section, the data gathered from the survey will be shown in three
respective tables and the results will be analyzed. The first table will illustrate the
demographics and sample characteristics of the participants in the survey. The
second will determine the means and standard deviations of online to offline
personality by age. The final table will show the participant reflection of offline
personality regressed on the variables Time, Interest, Good Feelings, Gender, Race,
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Education Level, Relationship Status and Age. By utilizing the regression model, the
significant relationships between the variables becomes apparent and will provide
the basis for supporting the hypothesis of internalized online identity expressed
offline based on positive feedback.
To reiterate, the research questions this study is looking to answer are: Does
the popularity of a post online cause a user to incorporate aspects of that post into
their offline identity?” and, “How does the time spent on social networking sites
cause the user to form their offline identity and understanding of self?” Following
these questions, the hypothesis that users of social networking sites create online
identities and based on positive feedback, internalize that identity and present that
formed identity offline will either be supported or rejected following the analyzing
of the regression model.
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Table 1. Sample Characteristics of Social Media and Self Results
Frequencies
(n)
Percentages
(%)
Mean St. Dev.
Reflection/Similarity(DV) 4.4 9.6
Strongly Disagree 6 2.0%
Somewhat Disagree 20 6.6%
Disagree 26 8.6%
Somewhat Agree 86 28.5%
Agree 97 32.1%
Strongly Agree 64 21.2%
Age (IV) 1.4 8.1
18-‐24 166 55%
25-‐34 74 24.5%
35-‐44 30 9.9%
45+ 30 9.3%
Time (IV) 1.4 9.8
1-‐3 202 66.9%
4-‐6 83 27.5%
7-‐9 10 3.3%
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10+ 4 1.3%
Interest (IV) 4.5 7.8
Strongly Disagree 4 1.3%
Somewhat Disagree 7 2.3%
Disagree 19 6.3%
Somewhat Agree 82 27.2%
Agree 78 25.8%
Strongly Agree 110 36.4%
Feel Good (IV) 4.4 7.8
Strongly Disagree 5 1.7%
Somewhat Disagree 11 3.6%
Disagree 28 9.3%
Somewhat Agree 70 23.2%
Agree 88 29.1%
Strongly Agree 98 32.5%
Total (n) 300
*% not adding up to 100% have missing values excluded in table.
Looking at the results of Table 1, in a study of 300 participants, 166 (55%)
were between 18-‐24, 74 (24.5%) were between 25 and 34, 30 (9.9%) were between
35-‐44 and 30 (9.3%) were 45+ years old. In terms of time spent on social
networking sites daily, 202 (66.9%) spent 1-‐3 hours, 88 (27.5%) spent 4-‐6 hours, 10
(3.3%) spent 7-‐9 hours, and 4 (1.3%) spent 10+ hours on social networking sites.
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When asked if positive feedback on posts led the user to feel good about their
interest in the subject, 110 participants (36.4%) strongly agreed, 78 (25.8%)
agreed, 82 (27.2%) somewhat agreed, 19 (6.3%) disagreed, 7 (2.3%) somewhat
disagreed and 4 (1.3%) strongly disagreed. When asked whether the participants
feel good about themselves when something they post online is well received, 98
participants (32.5%) strongly agreed, 88 (29.1%) agreed, 70 (23.2%) somewhat
agreed, 28 (9.3%) disagreed, 11 (3.6%) somewhat disagreed and 5 (1.7%) strongly
disagreed. The main dependent variable, reflection, asked participants if they felt
their posts on social networking sites were an accurate reflection of who they feel
they are. 64 participants (21.2%) strongly agreed, 97 (32.1%) agreed, 86 (28.5%)
somewhat agreed, 26 (8.6%) disagreed, 20 (6.6%) somewhat disagreed, 6 (2.0%)
strongly disagreed. These characteristic results are mirrored within the means of
Table 1. The mean for reflection is 4.4 which corresponds to the agree answer. The
mean for age is 1.4 which corresponds to the 18-‐24 age range which had the most
respondents. The average time spent on social networking sites is shown as 1.4
which is the 1-‐3 hours response that also had the most respondents. When looking
at whether or not positive feedback made the user feel good about their interest on
a subject, we see the mean is 4.5 which correlates to the agree/strongly agree
categories. Looking at the statement, I feel good about myself when I get a lot of
notes on something I posted online, the table shows a mean of 4.4 which is linked to
the agree option.
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Table 2. Mean and Standard Deviations of Reflection/Similarity of Online to
Offline Personality by Age
Reflection
Age Mean Std. Deviation
18-‐24 (n=166) 4.608 10.518
25-‐34 (n=74) 4.608 11.216
35-‐44 (n=30) 3.800 .925
45+ (n=28) 3.556 2.516
Missing (n=2) 3.00 1.414
Total (n=300) 4.421 9.567
The results of table 2, means and standard deviations of accurate reflection
between online to offline personality by age show that within the age groups of 18-‐
24 and 25-‐34, results are not normally distributed throughout respondent groups.
This can be explained by the variance of individual responses, shown in the high
standard deviations, between the disproportional amount of responses in those age
groups compared to the 35-‐44 and 45+ groups. The age groups 18-‐24 and 25-‐33
make up 240 of the 300 participants who answered and thus have skewed the
results. While there are larger numbers in the 18-‐33 ranges, the results for age
groups 35-‐44 and 45+ can be read as being outliers within the data set. This
interpretation of the data can be seen as valid due to the small sample within those
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age groups outside of the target sampling population. While the numbers are much
fewer than the 18-‐33 age groups, the respondents in the 35+ groups seem to have
been enough to cause certain issues within the data analysis that may have created
the problems with accuracy.
In analyzing the means of Table 2, we can see that within the age range of 18-‐
24 the mean is 4.6 which is linked to the agree/strongly agree response. Within the
25-‐35 age range, the mean was 4.6 which is linked to the agree/strongly agree
response. In the 35-‐44 age range, the mean is 3.8 which is linked to the somewhat
agree/agree option. The 45+ group has a mean of 3.556. As seen in the data, there is
a positive correlation and higher belief that among younger users their online
personality and self is similar to their offline self.
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Table 3. Participant Reflection of offline personality regressed on Time,
Interest, Good Feelings, Gender, Race, Education Level, Relationship Status
and Age.
Model 1 Model 2 Model 3
Coefficient Std.
Error
Sig. Coefficient Std.
Error
Sig. Coefficient Std.
Error
Sig.
Constant
Time -‐.024 .057 .677 -‐.025 .057 .668 -‐.025 .057 .670
Interest .008 .071 .889 .007 .072 .901 .007 .072 .905
Feel Good -‐.005 .071 .938 -‐.005 .071 .933 -‐.005 .071 .931
Gender -‐.009 .098 .873 -‐.009 .098 .874
Race -‐.023 .045 .679 -‐.020 .048 .747
Education .005 .070 .932 .005 .070 .929
Relationship -‐.015 .097 .804 -‐.014 .097 .809
Age -‐.010 .073 .874
R-Square -‐.009 -‐.022 -‐.026
The results of the regression are based on the three models. The first is the
regression involving the dependent variable, reflection, with time spent on the sites,
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positive feedback leading to feeling good about personal interest in the subject and
positive reception of posts making the users feel good about themselves. The second
model includes the aforementioned variables along with demographic control
variables such as gender, race, education and relationship status. Finally, the age of
respondents was factored into the regression model.
As shown in Table 3, the negative coefficients in the variables age, education,
race, gender time and users feeling good based on positive feedback show that these
variables have a negative correlation with the dependent variable of offline/online
reflection. As the variable age increases by one unit, the dependent variable
reflection decreases .024 in model 1 and .025 in models 2 and 3. As interest
increases by one unit, reflection increases .008 in model 1 and .007 in models 2 and
3. As the rate at which users feel good about themselves based on posts increases
by one unit, reflection decreases by .005 in all three models.
Within the control variables, as gender increases by one unit, reflection
decreases .009 in models 2 and 3. As race increases by one unit, reflection decreases
.023 in model 2 and .020 in model 3. As education increases by one unit, reflection
increases by .005 in model 2 and 3. As relationship status increases by one unit,
reflection decreases by .015 in model 2 and .014 in model 3. Finally, as age increase
by one unit, reflection decreases by .010.
While the regression model shows increases and decreases of the dependent
variable the significance of the independent, control and mediating variables all
show that there is little to no significance of the variables on whether or not the
participants feel their online personality reflects their offline personality. This
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would suggest that these variables are independent of one another and have little to
no correlation. The first model containing the independent variables accounts for
.9% decrease of variation regarding participant’s reflection, model 2 accounts for
2.2% decreased variation and model 3 accounts for 2.6% decreased variation of
reflection. These results suggest that the variables measured are not stable or
adequate predictors of whether or not participants think their online personality is
a reflection of their offline personality regardless of the correlation shown in Table
2.
V. Discussion
Upon analyzing the results of table 3, the hypothesis that users of social
networking sites create online identities and based on positive feedback, internalize
that identity and present it offline, was not supported in that there was no
correlation. As shown in the results section through the regression model, the
independent variables and mediating variable had no significant impact on the
whether or not the user feels there is a reflection between online and offline self.
The results of Table 2 support the correlation between the target population and
their thoughts on whether their online self was a reflection of their offline self that is
shown to have no significance in the regression analysis of Table 3. Since this is the
case, the null hypothesis is accepted in that there is no relation between measured
variables based on research questions and hypothesis. While the results did not
support the hypothesis that positive feedback on a person’s online posts would lead
to the user placing that aspect of their online presence into their offline identity,
there was a positive correlation between the age of respondents and their online to
33
offline self reflection. Likewise, the results from the tables show that certain aspects
of online activity are independent of each other regardless of their perceived
connectedness and can be seen as such.
In regard to Goffman’s (1959) work on self presentation, the sample
characteristics in Table 1 show that a majority of the users agreed in some form that
their online identity and offline identity reflected one another. Likewise, a majority
of participants agreed to some degree that receiving “likes” on their posts made
them feel good about themselves. From this, we can see that the online identity that
a user presents is validated and is thus reflected and maintained offline. This would
suggest that because the online presentation of self is popular amongst peers, the
user continues this presentation offline as a way to convey this specific image of
themselves to other audiences.
Goffman’s (1959) idea of groups helping to maintain the individual’s
performance of self can be seen from the Table 1 variable “interest”. This variable
measured the participant’s increased interest in a subject following positive
feedback. A majority of participants agreed to some degree, which would suggest
that the user’s identity, as presented through their selected topic to share, is
reinforced and responded to in a way that helps the user maintain and further
present the identity associated with the topic.
The idea of impression management can also be linked to the Table 1
variable “feel good”. As discussed in the section above, this validation of online
identity causes the user to maintain this identity offline. By continuing this
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presentation of identity, the user can guide the perceptions of them created online
to a new offline audience.
In terms of using social networking sites as a testing ground, a majority of
the participants agreed to some degree that receiving popular feedback on a post
increased their interest in the subject. This would support the discussion that the
user tests out certain aspects of an identity and based on the feedback of their
audience, will either continue to engage that subject or test another topic.
VI. Conclusion, Limitations and Suggestions for Future Research
In this final chapter,the limitations of this study will be addressed along with
a discussion of possible future research. While the null hypothesis was accepted and
no significant relationships were found in this study, there are several limitations
that might have contributed to this result. The limitations of this study were the
addition of participants outside of the millennial age range, resulting in outliers and
issues in analysis. If the sample had been limited to only people born from 1980-‐
1995, there might have been different results, an example of this would be the
positive relationship found in Table 2 that suggested a positive correlation between
the respondent’s age and their sense of online to offline reflection.
Similarly, the balance of gender within the study and incorporation of more
male identified participants might have created a different result. While the gender
of the participant wasn’t really a factor in analysis, having a more balanced
distribution might have been ideal in analyzing results.
35
Another limitation of this research was the implementation of an anonymous
online survey, which might have led to respondents not answering fully or with
their full attention/effort. The issue of an online survey, as suggested, is that there
are many distractions that might cause the survey or responses to not be taken
seriously by participants. The lack of incentive for participating is another factor of
the online survey; since there is no payment or inherent reward, participants do not
feel obligated to respond fully or take the time to answer questions honestly and
thoughtfully. The respondent may also be answering the survey in the mindset of
their perceived online self rather than in a neutral stance in which they would be
able to best reflect on their online/offline activity and self.
A large limitation to this research was the way in which the data was
collected. The survey was used to collect data which was valuable in itself but
considering the type of information that was needed would have yielded more
conclusive evidence had it been gathered through qualitative means such as in-‐
person interviews. The use of qualitative methods instead of quantitative would
have led to better understandings of participant responses and feelings about their
understanding of self online and offline. Having such information would have led to
better accuracy and validity within the results sections. While the survey does have
validity in its own sense (variance within respondents across America), it did not
allow for users to fully describe how they felt about their understanding of self
within the areas of online and offline socializing. Similarly, the survey was a one-‐
time survey that did not allow for further analysis of participants as a way to see
how the positive feedback affected them over time or how their use of the social
36
networking sites might have changed. This would have allowed for a comparison of
participant feelings over an extended period of time.
While the regression model in the research shows that there are no
significant relationships between variables being measured, which would suggest
that variables are independent of each other, the study does lead to areas for
improvement for future research that could result in proving the hypothesis. The
first improvement for future research would be substituting the online survey to
gauge participants’ feelings and instead use qualitative personal interviews and
focus groups that might lead to support for the hypothesis and a better
understanding of participants’ feelings and experiences. These qualitative methods
for gathering data would be administered over several months with the same
participants as a way to measure changes in feelings and a reflection about their
uses of social networking sites. Similarly, instead of grouping the social networking
sites together, gathering data on individual sites at different phases of the interview
process would lead to understanding how each site effects the users’ formation of
identity and understanding of self over time.
Another possible direction for future research would involve with the
incorporation of additional theoretical models. For example, one possible new
perspective might be Charles Cooley’s idea of the looking glass self , which states
that an individual’s self-‐concept is shaped on the interpersonal interactions and
perceptions of those interacting with the individual would further create an
understanding of the effect of social networking sites on identity formation(Cooley
1902:152). Similarly, Robert Jay Lifton’s (1971) “protean self” which discusses the
37
shifts in identity as a result of mass media, would help to create an understanding
on how the formation of identity and understanding of self is an ever-‐changing
process.
While the results of the regression show that there are no significant
relationships between the variables, the data collected in Table 1 along with the
proposed changes, would suggest that finding a positive correlation between the
effect of social networking sites and the formation of identity and understanding of
self is still possible.
38
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Appendix
I. Informed Consent
II. Survey Questions
I. Informed Consent
PURPOSE: You are invited to participate in a research study. The purpose of this study is to examine the effects of social networking sites on creation of identity and understanding of self. PARTICIPANT SELECTION: You were selected as a possible participant in this study because you are a part of the online community. This study will interview around 300 people ranging from ages 18 to 45+ years old. EXPLANATION OF PROCEDURES: If you decide to participate, you will need to answer the survey questionnaire, which will take only about less than 5 minutes and submit online. DISCOMFORT/RISKS: Risks are less than minimal and no personal information will be revealed without the permission and consent of the participants. If there are discomforting questions, participants can skip the questions or withdraw this survey. BENEFITS: This study will help better understanding the effects of social networking sites on the creation of identity and understanding of self. CONFIDENTIALITY: Any information obtained in this study in which you can be indentified will remain confidential and will be disclosed only with your permission. The information in the study records will be kept strictly confidential. Data will be stored securely and will be made available only to persons conducting the study. COMPENSATION OR TREATMENT: No compensation will be provided, as the data will be used to complete a research project. REFUSAL/WITHDRAWAL: Participation in this study is entirely voluntary. If you agree to participate in this study, you are free to withdraw from the study at any time without penalty and do not have to answer any questions if you feel uncomfortable.
42
CONTACT: If you have any questions about this research, you can contact Madison Ganda at [email protected]. You may also contact Peter Collier, Ph.D., Professor, Sociology Department (project advisor) [email protected] for general inquires about this research project.
II. Survey Questions
1. What is your age in years? ______ years old.
2. What is your sex?
Male Female Rather not respond
3. What is your race?
Latino Native American African American Multi-‐racial White Other Asian
4. What is your highest completed education level?
High School/GED Masters Some College Ph.D. College Graduate
5. What is your relationship status?
Single Married Dating Divorced Engaged
6. Do you use more than one social networking site? Yes No
43
If you reported yes above, please mark all the options that apply:
Facebook Tumblr Instagram Other 7) How much time do you spend daily on social networking sites?
1-‐3 hours 7-‐9 hours 4-‐6 hours More than 9 hours Please answer the following questions about your on-line experiences:
Strongly Agree
Somewhat Agree
Agree Disagree Somewhat Disagree
Strongly Disagree
8) I use social networking sites as a way to interact with other people.
9) I use social networking sites such as Facebook, Instagram and Tumblr on a daily basis.
10) If I get positive feedback on a personal post, I feel good about my interest in the subject.
11) If I post something
44
online that is well received, I feel confident discussing it with others offline. 12) I feel good about myself when I get a lot of notes on something I posted online.
13) If I see a topic is being talked about on social networking sites, I will look into the topic.
14) My posts on social networking sites are an accurate reflection of who I am.
15) Do you feel that your online personality is similar to your offline personality?
Thank you for your participation.
45